在玩ImportanceOfBeingErnest's code以在轴之间移动艺术家时,我认为将其扩展到集合(例如由PathCollections
生成的plt.scatter
)也很容易。没有这样的运气:
import matplotlib.pyplot as plt
import numpy as np
import pickle
x = np.linspace(-3, 3, 100)
y = np.exp(-x**2/2)/np.sqrt(2*np.pi)
a = np.random.normal(size=10000)
fig, ax = plt.subplots()
ax.scatter(x, y)
pickle.dump(fig, open("/tmp/figA.pickle", "wb"))
# plt.show()
fig, ax = plt.subplots()
ax.hist(a, bins=20, density=True, ec="k")
pickle.dump(fig, open("/tmp/figB.pickle", "wb"))
# plt.show()
plt.close("all")
# Now unpickle the figures and create a new figure
# then add artists to this new figure
figA = pickle.load(open("/tmp/figA.pickle", "rb"))
figB = pickle.load(open("/tmp/figB.pickle", "rb"))
fig, ax = plt.subplots()
for figO in [figA, figB]:
lists = [figO.axes[0].lines, figO.axes[0].patches, figO.axes[0].collections]
addfunc = [ax.add_line, ax.add_patch, ax.add_collection]
for lis, func in zip(lists, addfunc):
for artist in lis[:]:
artist.remove()
artist.axes = ax
# artist.set_transform(ax.transData)
artist.figure = fig
func(artist)
ax.relim()
ax.autoscale_view()
plt.close(figA)
plt.close(figB)
plt.show()
产量
删除artist.set_transform(ax.transData)
(至少在调用ax.add_collection
时)似乎有点帮助,但请注意y偏移仍然关闭:
如何将集合从一个轴正确移动到另一个轴?
答案 0 :(得分:1)
散布具有IdentityTransform作为主变换。数据变换是内部偏移变换。因此,人们需要分别处理散射。
from matplotlib.collections import PathCollection
from matplotlib.transforms import IdentityTransform
# ...
if type(artist) == PathCollection:
artist.set_transform(IdentityTransform())
artist._transOffset = ax.transData
else:
artist.set_transform(ax.transData)
不幸的是,没有set_offset_transform
方法,因此需要替换._transOffset
属性来设置偏移变换。